New publication on a new algorithm for model-informed precision dosing in Clinical Pharmacology & Therapeutics

29. September 2020, von Kroemer

Selection of the ‘correct’ underlying pharmacometric model is crucial for model-informed precision dosing. David Uster from our team developed a novel learning algorithm to select the best-fitting model from a set of models for an individual patient while TDM is performed. The algorithm was superior over using a single model for all patients shown in large simulation study and on a clinical dataset for the antibiotic vancomycin. Read more in the full publication in Clinical Pharmacology & Therapeutics.

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